Compare · Cloudflare

KERNSTACK vs Cloudflare

Cloudflare runs pieces of your app in data centres all over the world. KERNSTACK runs the whole project in one European zone: less reach, deliberately — and one graph to declare, review, and bill.

Where Cloudflare fits — and where teams hit the wall

Where Cloudflare fits well: products that genuinely need global low latency or edge-scale request handling, and teams happy to shape their code to the Workers runtime and its limits.

Where teams outgrow Cloudflare: when the app spreads across Workers, Pages, D1, R2, KV, Queues, and Vectorize — each a separate product with its own bindings and console — until nobody can draw the whole system on one page.

Many excellent products, one app to assemble

Cloudflare has spent a decade turning network pieces into developer products, and most of them are good. The cost is assembly: your application becomes the sum of its bindings, spread across products that were designed to be sold separately and behave that way in the console.

Each product also brings its own limits and mental model. Compute thinks in isolates and CPU time, data thinks in whichever of D1, KV, or R2 fits least badly, and the reviewer of a change has to know which console each behaviour lives in.

One zone, on purpose

KERNSTACK makes the opposite trade. A project runs whole in one European zone on our bare metal: functions for request-shaped work, container workers — real processes, not isolates — for everything longer, tables and buckets for data, and indexes declared over both.

  • Long work runs as a worker process instead of being reshaped to fit an edge runtime
  • Every resource is in the same stack.json, so one diff shows the whole change
  • Users outside Europe get a longer network path — that is the honest price of one zone

Side-by-Side: Cloudflare vs KERNSTACK

DimensionCloudflareKERNSTACK (Software Lifecycle Cloud)
Where code runsHundreds of edge locations worldwideOne European zone per project, on our bare metal
Compute modelWorkers isolates with runtime and CPU limitsFunctions for handlers, container workers for long processes
DataD1, KV, R2, and Vectorize as separate productsTables, buckets, and search indexes in one project graph
Unit of changeBindings and configuration per productOne stack.json, one plan diff
AgentsExternal tooling with account keysAgents draft in sandboxes; people approve the plan
BillPer-product pricing across the developer platformOne credit balance for the whole project

Frequently asked questions

Some will: a project in one European zone cannot beat an edge network on raw distance to a user in another continent. If global latency is your product, Cloudflare is the right tool. If your users and your data obligations are European, one zone is the simpler and more defensible shape.

Handlers become functions, long-running code becomes container workers, D1 or KV records land in key-value tables, and R2 objects land in buckets. Vectorize use becomes a vector index declared over those tables and buckets. Each move is an export and a re-declaration; nothing is imported automatically.

You lose the global edge network — that is real, and it is the trade. KERNSTACK gateway routes can mark a prefix CDN-enabled for delivery, but the platform claim is different: one declared project in one zone, not a planetary network.

Ship your stack on the Software Lifecycle Cloud.

Closed preview on dedicated European infrastructure. Bring a repository or start from a blueprint.